Automatically estimate 11 effect size measures from a well-formatted dataset. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets.
This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
compareDF, metafor, estimraw, rio |
| Suggests: |
testthat (≥ 3.0.0), metaumbrella, TOSTER, esc, epiR, compute.es, meta, effectsize, MetaUtility, knitr, DT, rmarkdown |
| Published: |
2024-10-26 |
| DOI: |
10.32614/CRAN.package.metaConvert |
| Author: |
Corentin J. Gosling [aut, cre],
Samuele Cortese [aut],
Marco Solmi [aut],
Belen Haza [aut],
Eduard Vieta [aut],
Richard Delorme [aut],
Paolo Fusar-Poli [aut],
Joaquim Radua [aut] |
| Maintainer: |
Corentin J. Gosling <corentin.gosling at parisnanterre.fr> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Citation: |
metaConvert citation info |
| Materials: |
README NEWS |
| In views: |
MetaAnalysis |
| CRAN checks: |
metaConvert results |